Damage Identification in Rolling Element Bearings Using Topological Data Analysis

Explore damage identification techniques for rolling element bearings through the lens of topological data analysis in this 27-minute conference talk presented by Niklas Hellmer at the 51st Conference on Applications of Mathematics. Delve into advanced mathematical concepts as Hellmer, from the Institute of Mathematics of the Polish Academy of Sciences and Dioscuri Centre in TDA, demonstrates how topological methods can be applied to detect and analyze bearing faults. Gain insights into cutting-edge approaches that combine signal processing, data analysis, and topology to enhance predictive maintenance strategies in mechanical systems.